{"id":"W4413359139","doi":"10.1109/access.2025.3600986","title":"Deep Clustering With Self-Supervision Using Pairwise Similarities","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Cluster analysis; Pairwise comparison; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001450708,0.001342338,0.00156206,0.001567157,0.0008377152,0.001416153,0.002828273,0.001625731,0.001872504],"category_scores_gemma":[0.004136926,0.0008415899,0.001398255,0.001507857,0.001497085,0.003271105,0.002985236,0.001968542,0.001065841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810029,"about_ca_system_score_gemma":0.00195671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006636955,"about_ca_topic_score_gemma":0.01048091,"domain_scores_codex":[0.9983181,0.0003534362,0.00009601004,0.0006419733,0.0004594027,0.0001311869],"domain_scores_gemma":[0.9978724,0.0004501991,0.0003248705,0.0006486831,0.0005729044,0.0001309633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001965784,0.0001736471,0.003119203,0.0001825739,0.000194963,0.00008397171,0.0002829665,0.6361379,0.01041535,0.02204645,0.00468098,0.3224854],"study_design_scores_gemma":[0.000006553859,0.00002798432,0.0002619598,0.000007391188,0.000006999345,0.00002521032,0.00001932242,0.9879668,0.002252979,0.008888889,0.0005247815,0.00001109538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01855212,0.0001458541,0.9791436,0.0001252936,0.00001695221,0.00004357458,0.00009984371,0.001013521,0.0008593693],"genre_scores_gemma":[0.5147702,0.0002270994,0.4790998,0.0002197173,0.00005641245,0.000177923,0.001208783,0.0003073295,0.003932782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006636955,"threshold_uncertainty_score":0.01319665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03610949039550173,"score_gpt":0.3456854684973579,"score_spread":0.3095759781018562,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}